Fact and Fiction in EU‐Governmental Economic Data

Abstract. To detect manipulations or fraud in accounting data, auditors have successfully used Benford's law as part of their fraud detection processes. Benford's law proposes a distribution for first digits of numbers in naturally occurring data. Government accounting and statistics are similar in nature to financial accounting. In the European Union (EU), there is pressure to comply with the Stability and Growth Pact criteria. Therefore, like firms, governments might try to make their economic situation seem better. In this paper, we use a Benford test to investigate the quality of macroeconomic data relevant to the deficit criteria reported to Eurostat by the EU member states. We find that the data reported by Greece shows the greatest deviation from Benford's law among all euro states.     

Economies of scale in the US computer industry: An empirical investigation using data envelopment analysis

Up to recently, economists have had no good tools to measure the returns to scale of individual corporations in an industry. Data envelopment analysis (DEA) is a linear programming technique for determining the efficiency frontier (the envelope) to the inputs and outputs of a collection of individual corporations or other productive units. While DEA offers an avenue for calculating the returns to scale of individual corporations, the approach has been riddled by mathematical complications arising from the possibility of alternate optima. The present paper develops theory for calculating the entire range of these alternate optima. Furthermore, in a quite ambitions empirical application, DEA is employed to determine the time path of returns to scale of all publicly held U.S. computer companies over the time period 1980–1991. For the great majority of companies, a unique time path is obtained; only in less than 4 percent of the linear programming calculations is an entire range of alternate optima obtained. The results indicate that the computer industry was polarized into two camps: large aging corporations with decreasing returns to scale, and swarms of small upstart companies with advanced technology exhibiting increasing returns to scale.     

Prices and market structure: an empirical analysis of the supermarket industry in Chile

This article investigates empirically the relationship between market structure and consumer prices in the supermarket industry in Chile. A panel of monthly data from 16 cities in the period January 1998–September 2006 is used. We find that, the more concentrated the industry in a city, the higher the prices, while the participation of major national chains in cities tends to lower prices. In terms of magnitude, this latter effect prevails over the former. Moreover, the dominant local chain is found to behave differently depending on whether or not one of the national chains is present in the city. Finally, we find that prices rise when a national chain acquires another chain and both were previously in a city (inmerge) while if only one of the two was present (outmerge), prices fall.     

Technology acquisition models for fast followers in high-technological markets: an empirical analysis of the LED industry

The rapid rate of technology obsolescence in many high-technology markets makes it imperative for firms to renew their technological bases constantly. Given its critical importance, the technology acquisition from the fast followers’ perspective needs to be the subject of careful analysis. This paper aims to identify the factors influencing fast-follower firms’ choice of technology acquisition model, using a multi-factorial analysis and taking into account their technological capabilities, marketing capabilities, and environmental risk tradeoffs. This study sourced data from the Securities Data Company (SDC) Platinum Database for a total of 205 instances of technological cooperation between technology holders and fast followers in the LED industry. Based on the empirical results, some significant findings were found. First, regarding technological capabilities, when fast-follower firms had greater R&D, complementary manufacturing capabilities, and technological similarities with the partners, they preferred the acquisition model that required higher resource commitments. Secondly, when fast followers had marketing channel advantages, they were more likely to choose a high resource-commitment acquisition model to obtain time-to-market benefits.     

The determinants of tendering periods for PPP procurement in the UK: an empirical analysis

The procurement of infrastructure projects via public–private partnerships (PPPs) is rising globally. PPPs are, however, often characterized by lengthy tendering periods, defined as the difference between contract notice and financial close. Tendering periods are important because they account for a significant proportion of overall project delivery time. Slow tendering deters bidders and thus reduces competition for contracts. We source data on 670 PPP projects in the United Kingdom and use a duration analysis model to empirically examine factors that impact tendering period duration. Our results reveal significant sectoral variation with projects in the health and housing sectors taking significantly longer to reach financial close. We also show that, after controlling for other factors, projects with higher capital values and projects that overlap with the timing of general elections are associated with significantly longer tendering periods. We further examine the impact of the competitive dialogue procurement method and find evidence that tendering periods have increased since 2006; the year competitive dialogue was introduced. We do, however, observe a significant reduction in the time between appointment of preferred bidder and financial close post-2006. This suggests that competitive dialogue is effective in reducing the scope for negotiations by preferred bidders holding quasi-monopoly advantages.